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Foundations of Generic Optimization

Volume 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks

  • Robert Lowen
  • Alain Verschoren

Part of the Mathematical Modelling: Theory and Applications book series (MMTA, volume 24)

Table of contents

  1. Front Matter
    Pages i-x
  2. Werner Peeters
    Pages 1-138
  3. Alberto Cavallo, Armando Di Nardo
    Pages 139-159
  4. Francisco Mota Filho, Rodrigo Goncalves, Fernando Gomide
    Pages 161-180
  5. H. B. Kazemian
    Pages 241-260
  6. George K. I. Mann, Eranda Harinath
    Pages 283-312
  7. Sudesh K. Kashyap, J. R. Raol, Ambalal V. Patel
    Pages 313-385
  8. I. Alvarez-López, O. Llanes-Santiago, J. L. Verdegay
    Pages 387-401
  9. Hyei Kyung Lee, Eric Paillet, Werner Peeters
    Pages 403-431
  10. Hyei Kyung Lee, Eric Paillet, Werner Peeters
    Pages 433-456
  11. Back Matter
    Pages 457-458

About this book

Introduction

This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks.

This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field.

Keywords

Scheduling algorithms brandonwis calculus fuzzy control genetic algorithms logic modeling optimization

Editors and affiliations

  • Robert Lowen
    • 1
  • Alain Verschoren
    • 1
  1. 1.University of AntwerpBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-6668-9
  • Copyright Information Springer Science+Business Media B.V. 2008
  • Publisher Name Springer, Dordrecht
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4020-6667-2
  • Online ISBN 978-1-4020-6668-9
  • Series Print ISSN 1386-2960
  • Buy this book on publisher's site